This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required.
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December 5, 2016
This non-technical workshop provides an overview of computational text analysis methods and tools. No experience in this area is expected or required.
December 1, 2016
In this workshop, we will explore the process of moving from coded data to conclusions, the logics of analysis, identifying relationships in data, and building arguments with qualitative data.
Training: NLP with NLTK in Python
November 16, 2016
This workshop addresses various topics in Natural Language Processing, primarily through the use of NLTK.
Training: Introduction to Regular Expressions
October 26, 2016
Are you trying to search for or clean up certain segments of text in your documents or data files, but it's taking hours to search and replace, because you have to type many slightly different vers
Training: Introduction to Text Analysis in Python
October 19, 2016
Students will learn the basics of cleaning, transforming, and formatting text data.
October 28, 2016
In this workshop, we will explore the process of moving from coded data to conclusions, the logics of analysis, identifying relationships in data, and building arguments with qualitative data.
September 16, 2016
This workshop provides an overview of computational text analysis methods and tools.
May 23, 2016 to May 26, 2016
In its most ambitious formulation, the digital humanities aims to articulate new research questions made available by modern computers and data methods.
Training: INTENSIVE: Text Analysis
January 19, 2016 to January 21, 2016
This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling.
